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Table 3 The effect of different neural network architecture and topologies on coefficient of determination, R2, and absolute average deviation, AAD, in the estimation of lipase production obtained in the training and testing of neural networks

From: A modeling study by response surface methodology and artificial neural network on culture parameters optimization for thermostable lipase production from a newly isolated thermophilic Geobacillus sp. strain ARM

Name

Model

Learning algorithm

Connection type

Transfer function output

Transfer function hidden

Training set R2

Training set AAD (%)

Testing set R2

Testing set AAD (%)

C21

4-16-1

IBPa

MFFFb

Linear

Gaussian

1

0.1

1

0.231

D25

4-16-1

IBP

MNFFc

Linear

Gaussian

1

0.145

0.99

0.358

C12

4-15-1

IBP

MFFF

Linear

Gaussian

1

0.138

0.953

0.455

J22

4-15-1

IBP

MNFF

Linear

Tanhd

1

0.167

0.938

0.552

H5

4-15-1

IBP

MFFF

Linear

Tanh

1

0.196

0.908

0.639

  1. a Incremental Back Propagation
  2. b Multilayer Full FeedForward
  3. c Multilayer Normal FeedForward
  4. d Hyperbolic Tangent Function